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shinySDM: Point and click species distribution modeling

机译:ShinySDM:点按物种分布建模

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The focus of this research work is to address the difficulties involved in creating visualizations for species distribution modeling. We focus on two aspects of this problem: running models for predicting the likelihood of outbreak locations and testing the significance of the models generated. To improve this process, this work develops a web application which allows researchers to upload their data, create informative and interactive visualizations, and run desired models in addition to testing their significance. Such an application empowers researchers without any programming experience to both generate complex models and interpret results quickly and effectively. This paper will focus on maximum entropy modeling as the example modeling technique by providing an example run using data on vaccine-preventable diseases.
机译:这项研究工作的重点是解决在创建物种分布建模可视化过程中遇到的困难。我们关注此问题的两个方面:运行模型以预测爆发位置的可能性以及测试所生成模型的重要性。为了改善这一过程,这项工作开发了一个Web应用程序,使研究人员可以在测试其重要性的同时上传其数据,创建信息丰富的交互式可视化文件并运行所需的模型。这种应用程序使没有任何编程经验的研究人员可以快速有效地生成复杂的模型并解释结果。本文将通过使用疫苗可预防疾病的数据提供示例运行,将重点放在最大熵建模作为示例建模技术上。

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